Muhammad Noman

Python Backend & AI Engineer specializing in Scalable Systems and Generative AI

Based in: Dammam, Saudi ArabiaCurrently: Python Backend & AI Engineer, Etmaam for ServicesExperience: 7 years

Expert Python Backend Engineer with over 7 years of experience architecting scalable systems using Django, FastAPI, and microservices across healthcare and business sectors. He integrates advanced Generative AI and RAG solutions with a security-conscious approach informed by an M.S. in Cybersecurity.

Experience

Python Backend & AI Engineer

Etmaam for ServicesAl Khobar, Saudi ArabiaworkApr 2026 – Present

Summary

Develop and maintain Python backend systems and automation tools supporting business operations and internal workflows. Build AI-powered features using LLMs and RAG, enabling natural-language querying of internal documents and business data. Apply secure engineering practices to improve system reliability, monitoring, and operational efficiency.

What I did

Improved query accuracy by implementing a hybrid chunking approach using semantic and hierarchical methods.
Applied top-k retrieval and reranking strategies to enhance system performance.

PythonLLMRAG

Python Django Developer

siParadigmIslamabad, PakistanworkDec 2025 – Mar 2026

Engineered secure, scalable RESTful APIs using Django REST Framework (DRF) to support healthcare applications, enabling integration between clinical systems, patient-facing platforms, and third-party services. Architected microservices-based backend components leveraging RabbitMQ and Redis for asynchronous processing and caching, improving system reliability and inter-service communication. Containerized backend services with Docker, standardizing deployment workflows across staging and production environments.

PythonDjangoDjango REST FrameworkDRFRabbitMQRedisDocker

Python Backend & AI Engineer

Ikonic SolutionsIslamabad, PakistanworkJul 2024 – Dec 2025

Delivered scalable RESTful APIs using Django REST Framework (DRF) and Flask, powering client-facing web applications with secure, efficient data exchange. Integrated OpenAI APIs and LLMs into production applications, enabling AI-powered content generation, intelligent workflows, and business process automation. Optimized backend throughput via load balancing, connection pooling, and efficient data serialization, improving performance in high-traffic environments.

PythonDjango REST FrameworkDRFFlaskOpenAI APILLM

Skills

Technical

Python

Django REST Framework (DRF)

Django

Git

Retrieval-Augmented Generation (RAG)

LLM Integration

HTML

RESTful API Design

PostgreSQL

MySQL

FastAPI

OpenAI API

Microservices

Redis

Bootstrap

Cybersecurity

Secure Software Development

IoT Security

Docker

Linux

Flask

RabbitMQ

Secure System Design

Celery

Apidog

JavaScript

CI/CD (GitHub Actions)

Nginx

SQLite

NLP

ARM TrustZone

ClickUp

AWS

HSM

Scikit-Learn

Gensim

spaCy

React

MongoDB

Quantization

LangChain

Vapi

Pydantic

Ollama

Languages

Urdu

English

Arabic

Projects

VocaCare - AI Voice Companion for Seniors

Developerpersonal

Built an AI-powered voice assistant for elderly care delivering health check-ins, symptom tracking, and wellness reminders; automated health report generation and emergency-contact alerts for missed check-ins.

AIVoice AssistantAutomationVapi

RAG Knowledge Base Management System

Developerpersonal

Developed a Retrieval-Augmented Generation (RAG) platform with a virtual AI assistant enabling natural language querying of organizational knowledge, plus an admin interface for knowledge base management.

RAGAI AssistantNatural Language Querying

Healthcare Document Digitalization Platform

Developerprofessional

Built a multi-tenant healthcare document processing platform for digitizing scanned patient reports, featuring dynamic template-driven data extraction, automated field extraction with confidence scoring, on-document verification, and a redaction service for securely masking sensitive patient information.

Data ExtractionRedaction ServiceMulti-tenant

Document Manager Automation

Developerpersonal

Developed an automated document ingestion and processing system for high-volume client reports; a real-time directory watcher pushes reports to a Redis queue, and a parallelized pipeline processes 90-100 reports in 6-10 seconds using 10 parallel workers.

RedisParallel ProcessingDirectory Watcher

GPT for Homes

Developerpersonal

Developed a RAG-powered real estate assistant enabling natural language property search by budget, bedrooms, and location, enriched with nearby schools, parks, restaurants, and public transport.

RAGGPTNatural Language SearchFastAPIAWSNginxGunicornEC2UvicornPydantic

Smart Parking System - IoT-Based Solution

Developeracademic

Developed an IoT-enabled smart parking system using IR sensors, ESP8266 microcontrollers, and Firebase Realtime Database, with an Android app and admin dashboard for centralized monitoring.

IR sensorsESP8266Firebase Realtime DatabaseAndroidIoT

AI Assistant for Health Sector

personal

An AI assistant developed for the health sector, documented via a video demonstration on LinkedIn.

Local RAG Chatbot

personal

Built a small RAG chatbot over PDF documents using Ollama with LangChain and a local vector store to understand trade-offs between local and API-based models.

OllamaLangChainLocal vector storeGGUF4-bit quantization

Education

Master of Science (M.S.)

Air UniversityCybersecuritySep 2021 – 2024

Thesis. Hardware-Based Mitigation Techniques for Securing IoT Systems Against Malicious Attacks

Bachelor of Science (B.S.)

University of GujratSoftware EngineeringSep 2015 – Nov 2019

Recognition

Patents & publications

Hardware-Based Mitigation Techniques for Securing IoT Systems Against Malicious Attacks

research paper2024

Evaluated hardware-based security mechanisms for IoT, assessing ARM TrustZone (Cortex-M33) resilience against software exploits, tampering, and privilege escalation. Analyzed MPU, MMU, TPM, TEE, HSM, Secure Boot, and PUF technologies and proposed countermeasures to strengthen IoT system security.

Hire MuhammadReach out about a role, a contract or a conversation.For recruiters

Muhammad's twin is AI, it can make mistakes.

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